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» Shape Priors using Manifold Learning Techniques
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CVPR
2005
IEEE
16 years 1 months ago
Tangent-Corrected Embedding
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale ...
CVPR
2007
IEEE
16 years 1 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
ICCV
2009
IEEE
16 years 4 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
ICCV
2007
IEEE
16 years 1 months ago
Globally Optimal Image Segmentation with an Elastic Shape Prior
So far global optimization techniques have been developed independently for the tasks of shape matching and image segmentation. In this paper we show that both tasks can in fact b...
Thomas Schoenemann, Daniel Cremers
PR
2010
151views more  PR 2010»
14 years 10 months ago
Coupled region-edge shape priors for simultaneous localization and figure-ground segmentation
We propose a new algorithm for simultaneous localization and figure-ground segmentation where coupled region-edge shape priors are involved with two different but complementary ...
Cheng Chen, Guoliang Fan